Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Drygala, Claudia"'
Numerical simulations of turbulent flows present significant challenges in fluid dynamics due to their complexity and high computational cost. High resolution techniques such as Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) are ge
Externí odkaz:
http://arxiv.org/abs/2411.16417
Turbulent flow consists of structures with a wide range of spatial and temporal scales which are hard to resolve numerically. Classical numerical methods as the Large Eddy Simulation (LES) are able to capture fine details of turbulent structures but
Externí odkaz:
http://arxiv.org/abs/2302.09945
We present a mathematically well founded approach for the synthetic modeling of turbulent flows using generative adversarial networks (GAN). Based on the analysis of chaotic, deterministic systems in terms of ergodicity, we outline a mathematical pro
Externí odkaz:
http://arxiv.org/abs/2112.02548
To ensure safety in automated driving, the correct perception of the situation inside the car is as important as its environment. Thus, seat occupancy detection and classification of detected instances play an important role in interior sensing. By t
Externí odkaz:
http://arxiv.org/abs/2109.09410
Autor:
Drygala, Claudia1 (AUTHOR) drygala@uni-wuppertal.de, Rottmann, Matthias1 (AUTHOR), Gottschalk, Hanno1 (AUTHOR), Friedrichs, Klaus2 (AUTHOR), Kurbiel, Thomas2 (AUTHOR)
Publikováno v:
Journal of Mathematics in Industry. 12/30/2022, Vol. 12 Issue 1, p1-32. 32p.
